huggingface data_error ai_generated true

IndexError: list index out of range while processing shard 4 of dataset 'my_dataset'

ID: huggingface/dataset-sharding-index-out-of-range

Also available as: JSON · Markdown · 中文
88%Fix Rate
85%Confidence
1Evidence
2024-03-15First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
huggingface/datasets 2.18.0 active — — —
huggingface/datasets 2.19.0 active — — —
huggingface/datasets 2.20.0 active — — —

Root Cause

Dataset shard file is corrupted or incomplete, causing fewer examples than expected when splitting into shards.

generic

中文

数据集分片文件损坏或不完整，导致分片时实际样本数少于预期。

Official Documentation

https://huggingface.co/docs/datasets/en/loading#sharding

Workarounds

  1. 85% success Clear the dataset cache and re-download: `import datasets; datasets.load_dataset('my_dataset', cache_dir='/tmp/fresh_cache')` 
    Clear the dataset cache and re-download: `import datasets; datasets.load_dataset('my_dataset', cache_dir='/tmp/fresh_cache')`
  2. 80% success Manually verify shard files: `ls ~/.cache/huggingface/datasets/my_dataset/*.arrow` and remove any zero-byte files before re-loading. 
    Manually verify shard files: `ls ~/.cache/huggingface/datasets/my_dataset/*.arrow` and remove any zero-byte files before re-loading.

中文步骤

  1. Clear the dataset cache and re-download: `import datasets; datasets.load_dataset('my_dataset', cache_dir='/tmp/fresh_cache')`
  2. Manually verify shard files: `ls ~/.cache/huggingface/datasets/my_dataset/*.arrow` and remove any zero-byte files before re-loading.

Dead Ends

Common approaches that don't work:

  1. Increase shard count to reduce per-shard size 75% fail

    The error is due to a corrupted shard file, not shard size. Changing shard count doesn't fix the underlying data corruption.

  2. Re-download the entire dataset without checking shard integrity 60% fail

    If the cache is corrupt, simply re-downloading without clearing the cache may reuse the same corrupted file.